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SmartMatchmakingEngine

A candidate-to-role matching project developed around an SIH problem statement, exploring how assessment performance, skills, and resume information can inform opportunity recommendations.

TypeScriptNext.jsGenkitFirebaseMatching algorithms
01 / CONTEXT

The problem

Recruitment and opportunity matching need a way to compare candidate evidence with role requirements rather than relying on a single score.

02 / DIRECTION

The approach

Explore a multi-factor matching pipeline that can normalize assessment results, extract skills from candidate profiles, compare them with role requirements, and present ranked recommendations.

03 / SYSTEM MAP

Architecture at a glance

01Candidate and role inputs
02Score normalization
03Resume and skills extraction
04Weighted matching and ranking
05Recommendations and reporting
04 / ENGINEERING NOTES

What this explores

Originated from an SIH problem statement
Designed around explainable matching factors
README describes AI-MAT assessment data as a potential input
End-to-end integration and measured outcomes should be verified before claiming them

Replace or supplement this summary with verified implementation details, testing evidence, screenshots, and your personal contributions before presenting the work as production-complete.